PDF(Pubmed)
Abstract：
Objective. To allow the estimation of secondary cancer risks from radiation therapy treatment plans in a comprehensive and user-friendly Monte Carlo (MC) framework.Method. Patient planning computed tomography scans were extended superior-inferior using the International Commission on Radiological Protection\'s Publication 145 computational mesh phantoms and skeletal matching. Dose distributions were calculated with the TOPAS MC system using novel mesh capabilities and the digital imaging and communications in medicine radiotherapy extension interface. Finally, in-field and out-of-field cancer risk was calculated using both sarcoma and carcinoma risk models with two alternative parameter sets.Result. The TOPAS MC framework was extended to facilitate epidemiological studies on radiation-induced cancer risk. The framework is efficient and allows automated analysis of large datasets. Out-of-field organ dose was small compared to in-field dose, but the risk estimates indicate a non-negligible contribution to the total radiation induced cancer risk.Significance. This work equips the TOPAS MC system with anatomical extension, mesh geometry, and cancer risk model capabilities that make state-of-the-art out-of-field dose calculation and risk estimation accessible to a large pool of users. Furthermore, these capabilities will facilitate further refinement of risk models and sensitivity analysis of patient specific treatment options.
摘要：
目的：允许在全面且用户友好的蒙特卡洛框架中从放射治疗治疗计划中估计继发性癌症风险。＆＃xD;方法：使用ICRP出版物145计算网格体模和骨骼匹配，对患者计划CT进行了上下扩展。使用TOPAS蒙特卡罗系统使用新颖的网格能力和DICOM-RT接口计算剂量分布。最后,使用肉瘤和癌风险模型以及两个替代参数集计算场内和场外癌症风险.主要结果：TOPAS蒙特卡洛框架得到扩展，以促进对辐射诱发的癌症风险的流行病学研究。该框架是高效的，可以自动分析大型数据集。与野外剂量相比，野外器官剂量较小，但是风险估计表明，辐射诱发癌症的总风险具有不可忽视的贡献。＆＃xD;意义：解剖扩展的实施，网格幻影功能，和癌症风险模型进入TOPAS蒙特卡洛系统，使最先进的场外剂量计算和风险估计可供大量用户使用，同时促进风险模型的进一步完善和患者特定治疗方案的敏感性分析。
